| 000 | 02246nab a22002777a 4500 | ||
|---|---|---|---|
| 650 |
_9181 _aDATA ANALYSIS |
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| 650 |
_9103 _aCHILD ABUSE |
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| 999 |
_c5410 _d5410 |
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| 005 | 20250625151429.0 | ||
| 008 | 170501t2016 -nz||||| |||| 00| 0 eng d | ||
| 040 | _aAFVC | ||
| 100 |
_aGillingham, Philip _96646 |
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| 245 |
_aPredictive risk modelling to prevent child maltreatment and other adverse outcomes for service users : _binside the 'black box' of machine learning _cPhilip Gillingham |
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| 260 |
_bOxford, _c2016 |
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| 500 | _aBritish Journal of Social Work, 2016, 46(4): 1044-1058 | ||
| 520 | _a"Recent developments in digital technology have facilitated the recording and retrieval of administrative data from multiple sources about children and their families. Combined with new ways to mine such data using algorithms which can ‘learn’, it has been claimed that it is possible to develop tools that can predict which individual children within a population are most likely to be maltreated. The proposed benefit is that interventions can then be targeted to the most vulnerable children and their families to prevent maltreatment from occurring. As expertise in predictive modelling increases, the approach may also be applied in other areas of social work to predict and prevent adverse outcomes for vulnerable service users. In this article, a glimpse inside the ‘black box’ of predictive tools is provided to demonstrate how their development for use in social work may not be straightforward, given the nature of the data recorded about service users and service activity. The development of predictive risk modelling (PRM) in New Zealand is focused on as an example as it may be the first such tool to be applied as part of ongoing reforms to child protection services." (Author's abstract). Record #5410 | ||
| 650 |
_aCHILD NEGLECT _9114 |
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| 650 |
_aINTERVENTION _9326 |
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| 650 | 0 |
_94928 _aPREDICTIVE RISK MODELLING |
|
| 650 | 4 |
_aSOCIAL SERVICES _9555 |
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| 650 |
_aSOCIAL WORK PRACTICE _9562 |
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| 651 | 4 |
_aNEW ZEALAND _92588 |
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| 773 | 0 | _tBritish Journal of Social Work, 2016, 46(4): 1044-1058 | |
| 830 |
_aBritish Journal of Social Work _95239 |
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| 856 |
_uhttps://doi.org/10.1093/bjsw/bcv031 _yRead abstract |
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| 942 |
_2ddc _cARTICLE |
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